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FAULT - Wiley Online Library

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Last Updated: 24 September 2022

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Potential volcano‐tectonic origins and faulting mechanisms of three low‐frequency Marsquakes detected by a single InSight seismometer

We used waveform data from the InSight mission to determine the origins of three potential Marsquakes by using low-frequency events reported by the Marsquake Service. In a novel approach, we then estimated potential double-u2010couple faulting mechanisms associated with each of the marsquakes using the relative amplitudes and polarities of the P, SH, and SV waves. With a single device that begins as a thrust faulting and a oblique normalu2010faulting mechanism, both S0173a and S0173ab can be characterized. Although it's younger, S0325a and S0325ab could also be a doublet that begins with the Eu2010W extension and ends with the N'u2010S extension. A single faulting device demonstrating vertical dipu2010slip with a small normalu2010fault component is our most commonly used explanation for S0235b. The flight of one fault plane coincides roughly with the Cerberus Fossae's exposed faults.

Source link: https://onlinelibrary.wiley.com/doi/10.1029/2022JE007309


State of the art on vibration signal processing towards data‐driven gear fault diagnosis

Gear fault diagnosis based on vibration signals is a common research topic in industry and academia. This paper provides a comprehensive and systematic review of vibration signal-u2010-based GFD practices in recent years, as well as providing insights for interested researchers. The authors first discuss the typical gear defects and their vibration signal characteristics. Then the authors present machine learningu2010based techniques for gear fault detection and emphasise deep learningu2010-based techniques. In addition, the authors examine different fault detection schemes.

Source link: https://onlinelibrary.wiley.com/doi/10.1049/cim2.12064


Evolution of pulverized fault zone rocks by dynamic tensile loading during successive earthquakes

Most of the research into dynamic rock fractures during multiple earthquake cycles has mainly focused on transient compressive loading, but no information about off-u2010fault damage has been published, owing to successive tensile loads. Using a modified sample size for uniaxial compressive loading units consisting of a Westerly granite rock disk bonded to two lead disks, we investigate damage accumulation by transient tensile load over several earthquake cycles.

Source link: https://onlinelibrary.wiley.com/doi/10.1029/2022GL099971


A Comparison Study of Synkinematic Illite Isolation, Quantitative X‐ray Powder Diffraction, and K‐Ar Dating for Direct Fault Gouge Analyses

To obtain Ku2010Ar isotope results for authigenic clays, it is necessary to have methods of effective sample preparation and quantitative identification of illite polytypes. In this regard, we compared the commonly used clay size separation device by centrifugation with vacuum filtration technologies, finding that the former is able to extract fractions with finer particle sizes under similar conditions, thus increasing the error in the authigenic end-U2010member age. Also, we found that the side-u2010packed mounting system for X-u2013ray diffraction analysis can significantly improve the randomness in powder samples, thus increasing the quantification efficiency compared to the original methods.

Source link: https://onlinelibrary.wiley.com/doi/10.1111/1755-6724.15001


Fault diagnosis for rolling bearing based on parameter transfer Bayesian network

The bearing fault characteristics are poor at the start of the change in bearing condition, with many drowning in the background noise. In this study, a fault diagnosis framework incorporating two stages of signal enhancement and intelligent fault detection is suggested. Firstly, use a genetic algorithm to get the most desirable combination of parameters, on which the original fault signals are converted into intrinsic modal function components. This paper uses the DWTL technique to determine the source domain weight factor and the balance coefficient based on data quantity in various sources and target domains. This paper's DWTL technique will improve the fault diagnosis accuracy and effectively avoid the negative transfer phenomenon. An example of rolling bearing fault diagnosis is performed. The accuracy of fault diagnosis based on the latest framework is about 10% higher than that of other fault diagnosis techniques, according to the results.

Source link: https://onlinelibrary.wiley.com/doi/10.1002/qre.3208


Monitoring seismic velocity changes across the San Jacinto fault using train‐generated seismic tremors

For seismic velocity measurements, microseismic noise has been used. With such high spatial resolution, we can concentrate on small velocity perturbations in the crust with high spatial resolution. We examine ten years of seismic velocity temporal shifts at the San Jacinto Fault. We observe and map a two-month-long episode of velocity shifts with complex spatial organization and analysis as a result of a previously undocumented slowu2010slip event, as seen by a previously undocumented slip event. Such a slow-slip event stresses its environment and can cause a major earthquake on a fault line that is about to fail.

Source link: https://onlinelibrary.wiley.com/doi/10.1029/2022GL098509


Fast diagnosis strategy for open‐circuit fault of switch devices in open‐winding PMSM system based on voltage error estimation

Switch systems in the openu2010winding permanent magnet synchronous motor system's dual inverter topology, due to the symmetry of the topology, most switches have high similarity in working characteristics, which also increases the difficulty in finding defective parts. The correlation between the inverter output voltage error and fault location is found in this paper, which includes analyzing the difference between inverter output characteristics before and after switch devices openu2010circuit fault, is explored, and a fault diagnosis procedure is suggested. Then, the first device fault diagnosis of single device fault and two devices with the same characteristics fail at the same time are realized.

Source link: https://onlinelibrary.wiley.com/doi/10.1049/pel2.12394


Fault Prediction of Nonlinear Multi‐mode Industrial Process Based on MKPCA Model

First, the MKPCA model will be used to fault detection in various modes of operation in the steady process of MKPCA, and a weighted algorithm for fault detection in the transition process. Then, the fault degree, and the failure amplitude in the case of fault reconstruction will be solved by the optimization scheme, and a consistent estimation system of fault amplitude under various conditions will also be investigated. Finally, the Support Vector Machine forecast model will be used to forecast the trend of the fault amplitude's evolution.

Source link: https://onlinelibrary.wiley.com/doi/10.1002/cjce.24667


Microseismicity monitoring and site characterization with Distributed Acoustic Sensing (DAS): The case of the Irpinia fault system (Southern Italy)

The first results have been obtained thanks to the installation of a dedicated one-u2010kilometer fiber-u2010optic cable within Southern Italy's Irpinia Near Fault Observatory regional network. Simple seismic refraction experiments were carried out alongside earthquake and numerical simulations to simulate the seismic phases found in the recordings. The site's subsurface low-u2010velocity layered structure provides the most visible waves in this peculiar geological setting. Also estimated that stacking of DAS channels for improving signal to noise ratio could increase signal to noise ratio.

Source link: https://onlinelibrary.wiley.com/doi/10.1029/2022JB024529


Interval estimation and fault detection for switched nonlinear systems based on zonotope method

This paper explores the state interval estimation and fault detection challenges for a Lipschitz nonlinear switched system based on a combination of the H221e H_2̆21e observer and the zonotope technique. Under the normal dwell time rule framework, we'll start with an H221e H_2̆21e observer that is robust to the disturbance, and the stability of the observer error dynamic system is investigated. The zonotope theory is developed on the H221e H_2̆21e observer error dynamic software, so that the interval state estimation can be estimated iteratively when the system suffers from no fault.

Source link: https://onlinelibrary.wiley.com/doi/10.1002/asjc.2938

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions